slow_brute_force: Basic and slow implementation of Brute-Force Algorithm
In shaiq681/KnapSacked: An R Package to implement 'greedy search', 'brute-force search' and 'dynamic programming' on knapsack proble-set
Description
Usage
Arguments
Value
References
See Also
Examples
View source: R/slow_brute_force.R
Description
The function returns maximum value within all the possible solutions
Usage
1
slow_brute_force(x, W)
Arguments
x
data.frame, contains variables weight(w) and value(v)
W
weight threshold for the knapsack
Value
Total and Maximum value within the threshold of W
References
https://en.wikipedia.org/wiki/Knapsack problem
See Also
Examples
1
2
slow_brute_force(x = knapsack_objects[1:8,], W = 3500)
slow_brute_force(x = knapsack_objects[1:12,], W = 3500)
shaiq681/KnapSacked documentation built on Oct. 13, 2020, 1:27 a.m.
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Description Usage Arguments Value References See Also Examples
View source: R/slow_brute_force.R
Description
The function returns maximum value within all the possible solutions
Usage
1 | slow_brute_force(x, W)
|
Arguments
x |
data.frame, contains variables weight(w) and value(v) |
W |
weight threshold for the knapsack |
Value
Total and Maximum value within the threshold of W
References
https://en.wikipedia.org/wiki/Knapsack problem
See Also
Examples
1 2 | slow_brute_force(x = knapsack_objects[1:8,], W = 3500)
slow_brute_force(x = knapsack_objects[1:12,], W = 3500)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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